Exploration and production document content and metadata scanner
AssigneeSchlumberger Technology Corporation
InventorsRishabh Gupta, Swapnil Patel, Udit Sinha
Life of this patent
Estimating the term…
Abstract
A method involves extracting, from a file comprising an unstructured oilfield document, terms, calculating term frequency inverse document frequency (TF-IDF) of the terms to generate an input vector, execute a document content classification model on the input vector to generate a document content classification of unstructured oilfield document, and extract table information from a table in the unstructured oilfield document. The method further involves storing, with the file in storage, the document content classification and the table information.
Claims20
A method comprising:
- extracting, from a file comprising an unstructured oilfield document, a plurality of terms;
- calculating term frequency inverse document frequency (TF-IDF) of the plurality of terms to generate an input vector;
- execute a document content classification model on the input vector to generate a document content classification of unstructured oilfield document;
- extract table information from a table in the unstructured oilfield document;
- and
- store, with the file in storage, the document content classification and the table information.
A system comprising:
- memory;
- and
- a processor for executing computer readable code configured to perform operations comprising:
- extracting, from a file comprising an unstructured oilfield document, a plurality of terms,
- calculating term frequency inverse document frequency (TF-IDF) of the plurality of terms to generate an input vector,
- execute a document content classification model on the input vector to generate a document content classification of unstructured oilfield document,
- extract table information from a table in the unstructured oilfield document, and
- store, with the file in storage, the document content classification and the table information.
A non-transitory computer readable medium comprising instructions that, when executed by a computer processor, perform operations comprising:
- extracting, from a file comprising an unstructured oilfield document, a plurality of terms;
- calculating term frequency inverse document frequency (TF-IDF) of the plurality of terms to generate an input vector;
- execute a document content classification model on the input vector to generate a document content classification of unstructured oilfield document;
- extract table information from a table in the unstructured oilfield document;
- and
- store, with the file in storage, the document content classification and the table information.
Dependencies are inferred from the claim text.